15 citations · 46 across the 8 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 1 cited
A Robust graph attention network with dynamic adjusted Graph
Xianchen Zhou, Yaoyun Zeng, Hongxia Wang
Graph Attention Networks(GATs) are useful deep learning models to deal with the graph data. However, recent works show that the classical GAT is vulnerable to adversarial attacks.…
cs.LG2020★ 13 cited
A regularized deep matrix factorized model of matrix completion for image restoration
Zhemin Li, Zhi-Qin John Xu, Tao Luo +1
It has been an important approach of using matrix completion to perform image restoration. Most previous works on matrix completion focus on the low-rank property by imposing expli…